🔍 Overview - Unit 6

In Unit 5, we established Timeline<'a> as our core abstraction for managing time-varying values. Through foundational operations like TL.map and TL.bind, we explored how Timeline enables powerful transformations, integrates I/O operations, and facilitates automatic resource management, all grounded in the Block Universe model and the internal DependencyCore. This provided a robust way to handle individual reactive data streams and their sequential dependencies.

The natural next step is to address how we can weave multiple independent Timeline instances together to construct more sophisticated and responsive reactive systems. This section of Unit 6, “Building Blocks for Combining Timelines,” is dedicated to this challenge. We will explore a range of principled and practical combinators and patterns designed specifically for merging, logically combining, and aggregating information from several timelines. A key focus will be on leveraging algebraic principles, particularly those of Monoids, to ensure these combinations are robust, predictable, and maintainable.